"MUSC Nurses Change Lives"
College of Nursing Faculty
Martina Mueller, PhD
Medical University of South Carolina
College of Nursing
99 Jonathan Lucas Street
Charleston, SC 29425-1600
Telephone: (843) 792-3997
Fax: (843) 792-9258
Dr. Martina Mueller has recently been appointed as Associate Professor in the College of Nursing with a joint appointment in the Department of Biostatistics, Bioinformatics and Epidemiology (DBBE) at the Medical University of South Carolina (MUSC). Dr Mueller received a degree in nursing (Germany) in 1985, and was actively engaged in the field as an emergency as well as operating room nurse for over 6 years. Because of her additional interest in the area of informatics as applied to health care, she completed an MS degree in medical informatics in 1996. Following this she was awarded a Fulbright Scholarship to continue her informatics studies in the Department of Biostatistics, Bioinformatics, and Epidemiology at MUSC where she subsequently completed the Ph.D. with areas of emphasis in bioinformatics and biostatistics.
Following completion of her postdoctoral training, she was appointed as a Research Assistant Professor in DBBE at MUSC in which she collaborated with MUSC researchers on several major ongoing NIH and VA funded projects, and provided statistical support for the Center of Health Disparities Research. Dr Mueller also served as Associate Director of the Data Coordinating Center for the Consortium of Research on ECT (CORE) which has conducted several large NIMH-sponsored multi-center clinical trials. Responsibilities included participation in study design and grant proposal development, oversight of data management and data quality control, participation in development and execution of the data analysis plan, and interpretation and presentation of trial results.
In addition to her collaborative work, Dr. Mueller has pursued independent research related to the development of informatics tools to assist in the care of premature infants in neonatal intensive care units (NICU). Her research, an outgrowth of her Ph.D. dissertation research, involves application of neural network methodology to assist inexperienced NICU physicians and nurses in predicting extubation outcome in these fragile infants managed on mechanical ventilators.